variables&lt;-

variables&lt;-,BN-method

variables&lt;-,BNDataset-method

Set the list of variable names in a <code>BN</code> or <code>BNDataset</code> object.

Bayesian Network Structure Learning from Data with Missing Values.
The package implements the Silander-Myllymaki complete search,
the Max-Min Parents-and-Children, the Hill-Climbing, the
Max-Min Hill-climbing heuristic searches, and the Structural
Expectation-Maximization algorithm. Available scoring functions are
BDeu, AIC, BIC. The package also implements methods for generating and using
bootstrap samples, imputed data, inference.

Alberto Franzin

bnstruct

Bayesian Network Structure Learning from Data with Missing
Values

Francesco Sambo

variables&lt;- function

<dl><dt>x</dt>
<dd>an object.</dd>
<dt>value</dt>
<dd>vector containing the variable names of the object.
Overwrites <code>num.nodes</code> slot if non-matching.</dd></dl>

Arguments

set variables of an object. — variables&lt;-

<dl>

<dt>x</dt>
<dd>an object.</dd>


<dt>value</dt>
<dd>vector containing the variable names of the object.
Overwrites <code>num.nodes</code> slot if non-matching.</dd>

</dl>

variables<-: set variables of an object.

Description

Usage

Arguments